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ACCIDENT ANALYSIS USING IOT

Authors: R.Panduranga Roa;

ACCIDENT ANALYSIS USING IOT

Abstract

Abstract—This project aims to develop an intelligent accident analysis system using IoT technology to improve road safety and emergency response. The system is designed to detect accidents in real-time, monitor key driving conditions, and automatically send alerts to emergency contacts along with the location of the incident. It also records voice data after an accident, serving as a basic black box for post-event analysis. In addition to accident detection, the system tracks driving behaviour and environmental factors, displaying relevant information on a screen for the driver and uploading data to an online platform for remote monitoring. By combining automation, communication, and data sharing, this project offers a smart and efficient solution for accident management and analysis. Keywords: Accident Detection, IoT Monitoring, Emergency Alert System, Real-time Tracking, Smart Vehicle Safety

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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